Hyperspectral visualization extensible workbench

Abstract

A method for defining targets in hyperspectral image data of a scene, has the steps: (1) identifying a target within the scene; (2) fitting a plurality of conjoined hyperplanes about the target in the scene; and (3) fitting a shape to the identified target by shrinkwrapping the hyperplanes about the target by translating and rotating the hyperplanes until a specified fit parameter is satisfied.

What is claimed is:  
     
       1. A method for defining targets in hyperspectral image data of a scene, comprising the steps: 
       identifying a target within said scene;  
       fitting a plurality of conjoined hyperplanes about said target in said scene; and  
       fitting a shape to said identified target by shrinkwrapping said hyperplanes about said target by translating and rotating said hyperplanes until a specified fit parameter is satisfied.  
     
     
       2. A method as in  claim 1 , further comprising the step of spatial filtering to produce further information about the target. 
     
     
       3. A method as in  claim 1 , further comprising the steps of: 
       obtaining pixels representing the target and other information present in a locale of the target;  
       partitioning the pixels into objects;  
       performing a two-dimensional principle component analysis on the objects to determine a width and length of each of said objects;  
       obtaining the overall size of each of said objects measured in total number of lit pixels; and  
       selectively eliminating some of said objects, said elimination being based on actual size, pixel dimensions, or both said actual size and pixel dimensions, as selective elimination criteria.